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Affordable Collision Detection for a 3D-Printed Robotic Arm.

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Title: Affordable Collision Detection for a 3D-Printed Robotic Arm.
Authors: OSMANOVIĆ, Almir1 almir.osmanovic@untz.ba, ČABARAVDIĆ, Malik2 malik.cabaravdic@unze.ba, SARAJLIĆ, Amer2 amer.sarajlic.20@dl.unze.ba, HALILOVIĆ, Jasmin3 jasmin.halilovic@untz.ba, VARDA, Kenan2 kenan.varda@unze.ba
Source: Technical Gazette / Tehnički Vjesnik. 2025, Vol. 32 Issue 6, p2066-2072. 7p.
Subjects: Collision detection (Computer animation), Robotics, Space perception, Kinect (Motion sensor), Robot control systems, Robotic path planning
Abstract: Collision detection and avoidance are crucial for safe and efficient robotic manipulation. This paper presents an affordable collision detection system for a 3Dprinted robotic arm using a Kinect camera integrated with the Robot Operating System (ROS). The proposed approach enables real-time environment perception and collision-free trajectory generation. Experimental results show a significant improvement in collision avoidance efficiency, achieving a 40% reduction in path length while maintaining real-time performance. The computational overhead introduced by collision detection is minimal, with a 12 ms delay per frame, which can be optimized further. It is demonstrating the system’s ability to effectively handle dynamic environments, such as human obstacles. This work highlights the potential of low-cost 3D sensing solutions for robotics applications, making them more accessible and scalable. [ABSTRACT FROM AUTHOR]
Copyright of Technical Gazette / Tehnički Vjesnik is the property of Tehnicki Vjesnik and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: <searchLink fieldCode="AR" term="%22OSMANOVIĆ%2C+Almir%22">OSMANOVIĆ, Almir</searchLink><relatesTo>1</relatesTo><i> almir.osmanovic@untz.ba</i><br /><searchLink fieldCode="AR" term="%22ČABARAVDIĆ%2C+Malik%22">ČABARAVDIĆ, Malik</searchLink><relatesTo>2</relatesTo><i> malik.cabaravdic@unze.ba</i><br /><searchLink fieldCode="AR" term="%22SARAJLIĆ%2C+Amer%22">SARAJLIĆ, Amer</searchLink><relatesTo>2</relatesTo><i> amer.sarajlic.20@dl.unze.ba</i><br /><searchLink fieldCode="AR" term="%22HALILOVIĆ%2C+Jasmin%22">HALILOVIĆ, Jasmin</searchLink><relatesTo>3</relatesTo><i> jasmin.halilovic@untz.ba</i><br /><searchLink fieldCode="AR" term="%22VARDA%2C+Kenan%22">VARDA, Kenan</searchLink><relatesTo>2</relatesTo><i> kenan.varda@unze.ba</i>
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  Data: <searchLink fieldCode="JN" term="%22Technical+Gazette+%2F+Tehnički+Vjesnik%22">Technical Gazette / Tehnički Vjesnik</searchLink>. 2025, Vol. 32 Issue 6, p2066-2072. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Collision+detection+%28Computer+animation%29%22">Collision detection (Computer animation)</searchLink><br /><searchLink fieldCode="DE" term="%22Robotics%22">Robotics</searchLink><br /><searchLink fieldCode="DE" term="%22Space+perception%22">Space perception</searchLink><br /><searchLink fieldCode="DE" term="%22Kinect+%28Motion+sensor%29%22">Kinect (Motion sensor)</searchLink><br /><searchLink fieldCode="DE" term="%22Robot+control+systems%22">Robot control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Robotic+path+planning%22">Robotic path planning</searchLink>
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  Data: Collision detection and avoidance are crucial for safe and efficient robotic manipulation. This paper presents an affordable collision detection system for a 3Dprinted robotic arm using a Kinect camera integrated with the Robot Operating System (ROS). The proposed approach enables real-time environment perception and collision-free trajectory generation. Experimental results show a significant improvement in collision avoidance efficiency, achieving a 40% reduction in path length while maintaining real-time performance. The computational overhead introduced by collision detection is minimal, with a 12 ms delay per frame, which can be optimized further. It is demonstrating the system’s ability to effectively handle dynamic environments, such as human obstacles. This work highlights the potential of low-cost 3D sensing solutions for robotics applications, making them more accessible and scalable. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Technical Gazette / Tehnički Vjesnik is the property of Tehnicki Vjesnik and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.17559/TV-20250320002497
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        Text: English
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      – SubjectFull: Robotics
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      – SubjectFull: Space perception
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            NameFull: HALILOVIĆ, Jasmin
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              M: 11
              Text: 2025
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              Y: 2025
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